Base station ratio of container network
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A compact formulation for the base station deployment problem in
This article considers the base station deployment problem in a wireless network. The natural formulation of this problem usually leads to numerical and memory issues, preventing users
Coordinated Container Migration and Base Station Handover
We (1) formulate an optimization problem for container placement and base station allocation, and (2) derive the best time to trigger handover, pre-migration, and migration, based on a delta
Ray tracing-based method for indoor multi-base station location
The present invention provides a ray tracing-based method for indoor multi-base station location optimization in a millimeter wave frequency band, comprising: constructing an indoor
5G Base-station Network Optimization in Urban Wireless
An 5G wireless network is studied to maximize the data rates between the base-station and mobile-station in an urban area. Antennas of the base-station and mobile-station are designed
Optimal Slicing of mmWave Micro Base Stations for 5G and
Micro base station are small and lightweight base stations that enhance the capacity and coverage of wireless networks. They are typically used in dense urban areas, where high user
Coordinated Container Migration and Base Station Handover
Meanwhile, the mobility of MUs necessitates handover among base stations in order to keep the wireless connections between MUs and base stations uninterrupted. In this paper, we address
Coverage and Economy of Cellular Networks with Many
To address this issue, we adopt a stochastic-geometry model of the downlink cellular network and analyze the mobile outage probability. Specifically, given Poisson distributed BSs, the outage
Coordination of Macro Base Stations for 5G Network with User
With the increasing amounts of terminal equipment with higher requirements of communication quality in the emerging fifth generation mobile communication network (5G), the energy
Optimal location of base stations for cellular mobile network
We developed a mixed integer programming model to provide the optimal location of base stations at different time periods with the network''s minimum total cost (i.e., installation
Optimal Base Station Density of Dense Network: From the
Based on these results, we obtain the throughput of the network and indicate the optimal deployment density under different network conditions. Extensive simulations are conducted to
Downlink capacity and base station density in cellular networks
Abstract: There have been a bulk of analytic results about the performance of cellular networks where base stations are regularly located on a hexagonal or square lattice. This regular model
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